Pivot CSV and Validate

Create a pivot table from CSV data, then validate the output.

Intermediate~3 mincsvtransformqa

Use case

Use this to verify pivot results contain valid CSV structure before loading into analytical tools.

Workflow overview2 steps0 / 2 completed~3 min

Follow the steps from left to right for a quick overview, then use the inline stepper below to run each tool.

Create a pivot table from CSV data, then validate the output.

Current focusStep 1 · CSV Pivot

0% complete

Step 1csv-tools Waiting

CSV → CSV

Create pivot table

Cross-tabulated CSV with aggregated values.

Step 2csv-tools Waiting

CSV → TEXT

Validate CSV

Status report with column count and any detected errors.

Run this workflow inline

Work through each tool step here. Running a step automatically prepares the next step with the correct handoff value.

Workflow shortcut

Next unlocked step: Step 1 · CSV Pivot

Progress is stored locally in this browser.

Step 1Ready to runcsv-tools

Create a cross-tabulation (pivot table) from flat CSV data. Specify row key, column key, aggregation field, and function (count, sum, mean).

Provide { "csv": "...", "rowKey": "field", "colKey": "field", "value": "field", "agg": "count|sum|mean" }.

Cross-tabulated CSV with aggregated values.

Run this step to process the current input and prepare the next workflow stage.

Step 2Lockedcsv-tools

Validate CSV syntax and structure — checks column consistency, unclosed quotes, and empty headers.

Complete the previous step first

This step unlocks automatically after all earlier workflow steps are completed successfully.

Paste CSV to validate. The original CSV is passed to the next step on success.

Status report with column count and any detected errors.

Run this step to process the current input and prepare the next workflow stage.